Penggunaan Media Poster dalam Pembelajaran Fisika untuk Meningkatkan Hasil Belajar Siswa Kelas VIII SMP Negeri 2 Kuantan Hilir Seberang

This research aims to determine improvement the learning outcomes cognitive science of physics by using media posters. This research was conducted in SMPN 2 Kuantan Hilir Seberang precisely in maret to June 2015. The subjects were students of class VIIIA and VIIIC totaling 64 students consisting of two class which has been in both classes homogeneity testing. Form the research is pre-experimental with design intact-group comparison. The instrument of data collection in this research is a cognitive achievement test consists of 20 multiple choice items. Analysis of the data in this research is a descriptive analysis. The results were obtained absorption class using the media posters is higher then the class without using the media poster with a good enough category, otherwise learning effectiveness declared in effective less, then completeness of learning\u27s students classically and completeness of lesson declared not complete, and then improvement the learning outcomes cognitive students with a low category. Nevertheless, it can be concluded application media posters can increase the learning outcomes students class VIII SMPN 2 Kuantan Hilir Seberang in the subject matter vibration and wave

Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem

Because of their fixed life and wide distribution, plants are the first victims of air pollution. The atmosphere is considered polluted when the increase of the rate of certain components causes harmful effects on the different constituents of the ecosystems. The study of the flow of air near a polluting source (cement plant in our case), allows to predict its impact on the surrounding plant ecosystem. Different factors are to be considered. The chemical composition of the air, the climatic conditions, and the impacted plant species are complex parameters to be analyzed using conventional mathematical methods. In this study, we propose a system based on artificial neural networks. Since artificial neural networks have the capacity to treat different complex parameters, their application in this domain is adequate. The proposed system makes it possible to match the input and output spaces. The variables that constitute the input space are the chemical composition, the concentration of the latter in the rainwater, their duration of deposition on the leaves and stems, the climatic conditions characterizing the environment, as well as the species of plant studied. The output variable expresses the rate of degradation of this species under the effect of pollution. Learning the system makes it possible to establish the transfer function and thus predict the impact of pollutants on the vegetation

Pengembangan Aplikasi Tanaman Pangan Komoditas Unggulan di Pulau Sulawesi dan Maluku Berbasis Sistem Informasi Geografis

Penelitian yang memiliki focus pada pengembangan aplikasi di Indonesia terusmeningkat. Sebagai negara kepulauan yang sebagian penduduknya bermatapencaharian sebagai petani sangat diperlukan bantuan untuk melakukan pemetaanterhadap komoditas unggulan seperti padi, jagung, umbi jalar, umbi kayu, kedelai,kacang hijau, dan kacang tanah pada lahan yang tersedia. Selama ini, masyarakathanya mengetahui lahan pertanian yang memiliki kualitas baik terdapat di kota besarsaja dan dengan akses yang terbatas. Tujuan penelitian ini adalah untukmengembangkan aplikasi yang telah dirancang sebelumnya dengan persebarantanaman pangan. Penelitian ini berbasis Sistem Informasi Geografis (SIG) yang dapatmengetahui letak persebaran tanaman pangan di Pulau Sulawesi dan Pulau Maluku.Hasil pengembangan aplikasi ini telah memberikan informasi luas lahan, produksidan produktivitas tanaman ubi kayu sebagai salah satu tanaman pangan unggulan.Aplikasi ini juga dapat diakses melalui mobile phone untuk mengetahui secara luaspersebaran tanaman pangan di Pulau Sulawesi dan Maluku, sehingga masyarakatdapat mengamati dengan mudah dimana saja lokasi yang terdapat tanaman panganyang diinginkan

Pemetaan Industri Pengolahan Pangan Unggulan Berbasis Sistem Informasi Geografis pada Propinsi Jawa Tengah

The emphasis of the agricultural industry in Indonesia lies in the program of increasing food security, agribusiness development and improving the welfare of farmers. The priority of food security in establishing the independence of farmers in maintaining local resources efficiently and optimally, so that resources can be utilized further. The objectives of the research are to mapping the leading food processing industry, the determination of the leading local resources, the formation of documentation and the making of Geographic Information System (GIS) application to support the improvement of food processing industry in order to independence and food security, the growth and development of food industry in the region. The method of conducting research with data collection of food processing industry in Central Java Province by making data base and taxonomy, mapping of food processing industry in regency/city and making of digital portal with feature of data component of food processing industry to more introduce superior food processing industry to the public. The achieved results are documentation of leading food processing industry and GIS formation for all regencies/cities of Central Java Province, to encourage the improvement of food processing industry, real industrial income, processing quality and increasing self-sufficiency of food processing industry

Renewable and Tough Poly(l -lactic acid)/Polyurethane Blends Prepared by Dynamic Vulcanization

Melt blending of homopolymers is an effective way to achieve an attractive combination of polymer properties. Dynamic vulcanization of fatty-acid-based polyester polyol with glycerol and poly(l-lactic acid) (PLLA) in the presence of hexamethylene diisocyanate (HDI) was performed with the aim of toughening PLLA. The dynamic vulcanization in an internal mixer led to the formation of a PLLA/PU biobased blend. Melt torque, Fourier transform infrared (FTIR), and gel fraction analysis demonstrated the successful formation of cross-linked polyurethane (PU) inside the PLLA matrix. Scanning electron microscopy (SEM) analysis showed that the PLLA/PU blends exhibit a sea-island morphology. Gel fraction analysis revealed that a rubbery phase was formed inside the PLLA matrix, which was insoluble in chloroform. FTIR analysis of the insoluble part shows the appearance of an absorption band centered at 1758 cm-1, related to the crystalline carbonyl vibration of the PLLA component, thus suggesting the partial involvement of PLLA chains in the cross-linking reaction. The overall content of the PU phase in the blends significantly affected the mechanical properties, thermal stability, and crystallization behavior of the materials. The overall crystallization rate of PLLA was noticeably decreased by the incorporation of PU. At the same time, polarized light optical microscopy (PLOM) analysis revealed that the presence of the PU rubbery phase inside the PLLA matrix promoted PLLA nucleation. With the formation of the PU network, the impact strength showed a remarkable increase while Young's modulus correspondingly decreased. The blends showed slightly reduced thermal stability compared to the neat PLLA

Nucleation and crystallization in bio-based immiscible polyester blends

Bio-based thermoplastic polyesters are highly promising materials as they combine interesting thermal and physical properties and in many cases biodegradability. However, sometimes the best property balance can only be achieved by blending in order to improve barrier properties, biodegradability or mechanical properties. Nucleation, crystallization and morphology are key factors that can dominate all these properties in crystallizable biobased polyesters. Therefore, their understanding, prediction and tailoring is essential. In this work, after a brief introduction about immiscible polymer blends, we summarize the crystallization behavior of the most important bio-based (and immiscible) polyester blends, considering examples of double-crystalline components. Even though in some specific blends (e.g., polylactide/polycaprolactone) many efforts have been made to understand the influence of blending on the nucleation, crystallization and morphology of the parent components, there are still many points that have yet to be understood. In the case of other immiscible polyester blends systems, the literature is scarce, opening up opportunities in this environmentally important research topic.The authors would like to acknowledge funding by the BIODEST project ((RISE) H2020-MSCA-RISE-2017-778092

Community Willingness to Participate in a Dengue Study in Aceh Province, Indonesia

Background: Dengue virus infection is the most rapidly spreading vector-borne disease in the world. Essential research on dengue virus transmission and its prevention requires community participation. Therefore, it is crucial to understand the factors that are associated with the willingness of communities in high prevalence areas to participate in dengue research. The aim of this study was to explore factors associated with the willingness of healthy community members in Aceh province, Indonesia, to participate in dengue research that would require phlebotomy. Methodology/Principal Findings: A community-based cross-sectional study was carried out in nine regencies and municipalities of Aceh from November 2014 to March 2015. Interviews using a set of validated questionnaires were conducted to collect data on demography, history of dengue infection, socioeconomic status, and knowledge, attitude and practice regarding dengue fever. Two-step logistic regression and Spearman's rank correlation (rs) analysis were used to assess the influence of independent variables on dependent variables. Among 535 participants, less than 20% had a good willingness to participate in the dengue study. The factors associated with good willingness to participate were being female, working as a civil servant, private employee or entrepreneur, having a high socioeconomic status and good knowledge, attitude and practice regarding dengue. Good knowledge and attitude regarding dengue were positive independent predictors of willingness to participate (OR: 2.30 [95% CI: 1.36-3.90] and 3.73 [95% CI: 2.24-6.21], respectively). Conclusion/Significance: The willingness to participate in dengue research is very low among community members in Aceh, and the two most important associated factors are knowledge and attitude regarding dengue. To increase participation rate, efforts to improve the knowledge and attitude of community members regarding dengue fever and dengue-related research is required before such studies are launched

Aplikasi penjualan konsinyasi berbasis visual foxpro pada UD. Setia tamalanrea makassar.

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Application Of 3D Mom/Cbfm Technique To The Problem Of Electromagnetic Scattering By Complex-Shaped Precipitation Particles

The Characteristic Basis Function Method (CBFM) is applied to a 3D full-wave model, in conjunction with the volume-integral equation formulation (VIEF), in the frequency range of 1-35 GHz to calculate the electromagnetic scattering properties of complex-shaped precipitation particles in an efficient and accurate manner. Preliminary results derived by the use of the new approach are shown to be in good agreement with those obtained with the discrete dipole approximation and the Mie theory for the test example of a spherical particle